PharmaDD Top News: Business, Technology, Strategic Briefings - Tracking leading techniques and approaches in therapeutic drug discovery and development

 

Sponsored Links:
Prescription Drug Addiction

 

 

Tech Brief

Qualitative and Semi-Quantitative Analysis of Protein Glycan Moieties Using Lectin-Based Arrays

By Ruth Ben-Yakar Maya, Haim Bangio, Rakefet Rosenfeld, and Peter
Porschewski*
Procognia (Israel) Ltd., Ashdod, Israel; *QIAGEN GmbH, Hilden, Germany

November/December  2006

Glycosylation plays an important role in many specific biological functions, including immune defense, fertilization, viral replication, parasitic infection, cell growth, inflammation, and cell-cell adhesion. In addition, glycosylation is the most versatile and one of the most abundant of all co- and posttranslational modifications.1 Procognia and QIAGEN have developed a novel technology that provides a detailed characterization of protein glycan moieties in a fraction of the time required for conventional HPLC-based methods of glycoanalysis.

Summary

Qproteome GlycoArray technology (QGA) provides researchers with a rapid  and simple  kit-based method for analysis of the glycosylation moieties of glycoproteins produced in mammalian cells. QGA is based on an array containing a set of 24 lectins with overlapping specificities, which have been characterized using a large dataset of carefully chosen, well-characterized glycoproteins. Lectins with differing, defined glycan-binding specificities are spotted on the surface of an array. The array is probed with a glycoprotein, washed to reduce background, and visualized using a microarray scanner. Bound glycoproteins can be visualized by direct fluorescent labeling of the glycoprotein target(s), biotinylation of the target(s) followed by detection with fluorescent streptavidin, or by using a fluorescently labeled protein-specific antibody (Fig. 1). After scanning the array, fluorescent signals are evaluated using Qproteome GlycoArray Analysis Software.

Binding of a glycoprotein to the array results in a characteristic “fingerprint” that is sensitive to changes in the protein’s glycan composition (Fig. 2). Though the fingerprint  is a sensitive tool for comparing differences in glycosylation among samples of the same protein, it is not a direct readout of the glycan structures in each sample. To give a profile of the glycan structures, fingerprint signals are automatically deconvoluted by a set of proprietary algorithms.

Figure 1. Glycoprotein is applied to the lectin array (A) and its glycans are recognized by the arrayed lectins (B). Binding is detected using an antibody probe (C), or direct pre-labeling of the protein. After binding, detection, and deconvolution, the relative fluorescence of the array spots (D) provides a qualitative and semi-quantitative analysis of the glycan epitopes detected on the glycoprotein sample.

The method is simple and faster than conventional methods that rely on chromatographic and mass spectrometric techniques, as there is no need for purification or time-consuming sample preparation steps.

Introduction

Glycosylation results from sugar residues added to a protein backbone that form a glycoprotein, which affects the stability of protein conformation, clearance rate, protection from proteolysis, and improves protein solubility.2–5 Glycosylation plays an important role in vivo in many biological functions, including immune defense, fertilization, viral replication, parasitic infection, cell growth, inflammation, cell-cell adhesion, and oncogenic transformation.6-13 In vitro, a protein’s pattern of glycosylation depends on many factors; including the type of cell producing the glycoprotein, nutrient concentrations, pH, cell density, and age.

Different cell lines and different fermentation conditions can produce significantly different glycosylation patterns. Glycosylation sites on glycoproteins commonly display micro-heterogeneity;  they can be fully or partially occupied by structurally diverse oligosaccharides. Mammalian glycoprotein oligosaccharides are commonly built from a limited number of monosaccharides, but their structural diversity is vast, mainly because they often form complex branching patterns. Glycosylation is not template-driven, and is currently impossible to predict.

In living cells, proteins are glycosylated by the actions of a series of glycosidases and glycosyltransferases that act sequentially on the growing glycan as it passes through the lumen of the endoplasmic reticulum (ER) and the Golgi apparatus. The various enzymatic reactions may not all reach completion, therefore a variety of glycan structures are commonly attached at each glycosylation site. Consequently, under a given set of conditions, a different population of glycosylation forms may be generated for a single type of protein.

A protein with a defined glycan pattern is termed a glycoform. The abundance of glycoforms within a cell is affected by the intrinsic structural properties of the individual protein, as well as the selection of glycosylation enzymes available (their type, concentration, kinetic characteristics, compartmentalization, etc.). The enzymes available have been shown to change according to changes in cell state, such as oncogenic transformation.13

Aberrant glycosylation has been observed in various disease states such as inflammatory diseases and cancer. Despite numerous studies that unequivocally demonstrate that oncogenic transformation is accompanied by changes in glycosylation, elaborate structural characterization of these changes and understanding of glycosylation’s precise role in the transformation process remain elusive. A key obstacle limiting such studies is the lack of a technology that can analyze the glycan composition of glycoproteins directly from in vivo samples.

Most cell surface and secreted proteins are glycosylated with either N-linked carbohydrates covalently attached through the side chain amide of asparagines, or O-linked carbohydrates covalently attached through the side-chain hydroxyl groups of serine or threonine. All N-linked glycans contain the pentasaccharide Man a1-6 (Man a1-3) Man b1-4 GlcNAc b1-4 GlcNAc as a common core  (Fig. 3) and can be classified into three main groups: oligomannose (high-mannose), complex types (bi-, tri-, and tetra- antennary; pentaantennary structures are rare), and hybrid type. 

Oligomannose structures contain only a-mannosyl residues attached to the trimannosyl core. Complex-type structures contain no mannose residues other than the trimannosyl core, but contain antennae with N-acetylglucosamine. The structural variation results from the various monosaccharides, such as sialic acid and fucose, which can be found in the antennae and in the core. Hybrid structures combine the characteristics of both oligomannose and complex glycans.  The complex-type glycans exhibit the greatest diversity, arising from both the number of antennae and the monosaccharides attached to the antennae; for example, diverse linkages of fucose to either galactose or N-acetylglucosamine are a common epitope.

Lectin-Based Glycoanalysis

Lectins are a family of carbohydrate-recognizing proteins that are classified into a number of specificity groups based on the monosaccharides for which they exhibit the highest affinity.14 The primary specificity groups of plant lectins include mannose/glucose, galactose/N-acetylgalactosamine, N-acetylglucosamine, fucose, and sialic acid. Primary specificity for other monosaccharides is very rare.

The classification of lectins based on their preferential binding to monosaccharides is useful to distinguish groups with differing gross specificities, yet in many cases gives a misleading picture of the real specificity. The concentrations required for abolishing binding by mono- or disaccharides are usually high (association constants of 103–104 M-1) and their specificity is relaxed, especially when compared to the typical inhibitory concentrations of oligosaccharides or complex glycans (association constants of 105–107 M-1) whose binding specificity is tighter. This heightened specificity may be explained by the occurrence of extended lectin-binding sites that preferentially accommodate oligosaccharides.

The plant lectins used in Qproteome GlycoArrays cover a broad range of specificities. The arrays carry a set of 24 lectins with overlapping specificities, which have been characterized using a large dataset of carefully chosen, well-characterized glycoproteins. Binding of a glycoprotein to the array results in a characteristic fingerprint that is highly sensitive to changes in the protein’s glycan composition. Qproteome GlycoArrays provide researchers with a rapid, simple kit-based method for determining the pattern and relative abundance of specific mammalian glycosylation epitopes in a glycosylated protein. The analysis can be performed on crude samples in growth media, thus eliminating the need for time-consuming purification and sample preparation steps.

The Properties of Lectins Used in Qproteome GlycoArrays

The lectins printed on the Qproteome GlycoArrays have been chosen by analyzing a set of over 80 lectins, using a large dataset of carefully chosen, well-characterized glycoproteins, and a large set of enzymatically synthesized glycovariants of these proteins. A description of the glycan epitopes analyzed by the kit and their quantification classification can be found in Table I.

Characterization of EPO Variants

Recombinant human erythropoietin (rhEPO) is widely used for the treatment of EPO-deficient anemias. In addition to its well-known role in erythropoiesis, EPO also plays an important protective role in the nervous system. However, large amounts of EPO lead to potentially harmful increases in red cell mass and to the production of hyperreactive platelets, which can lead to thrombosis. While red blood cell production needs the continuous presence of EPO, a brief exposition is sufficient for neuroprotection. Asialoerythropoietin (asialoEPO)—a desialylated form of EPO—is rapidly cleared from the blood and does not increase erythrocyte mass, but is fully protective in animal models for stroke, spinal cord injury, and peripheral neuropathy.15

Method

An aliquot of 50 µM purified commercial rhEPO was desialylated by application of 0.16 U/ml neuraminidase for 16 hours at 37° C in PBS. 500 µl aliquots of a 0.5 µM solution of both intact and desialylated samples were processed using Qproteome GlycoArray slides following a protocol provided in the handbook. Briefly, lectin slides were blocked for 1 hour using a supplied blocking buffer, washed, and a 450 µl sample was pipetted onto the slide. The slides were incubated for 1 hour at room temperature. After a short wash step, the slides were incubated with a rabbit anti-EPO antibody for 40 minutes, washed, and incubated with a FITC-labeled goat anti-rabbit secondary antibody for 30 minutes. After incubation, the slides were washed again, dried, and scanned using a microarray scanner with a FITC (488 nm) laser with a 530-nm emission filter. The scanned image was analyzed using software provided in the kit.

Results

Glycoanalysis using Qproteome GlycoArrays clearly demonstrates the difference between intact rhEPO and asialo-rhEPO. The signals displayed in the glycan fingerprint can give strong evidence of the difference between glycoprotein samples. The fingerprint of intact rhEPO shows a very strong signal for sialic acid (Fig. 2, blue bars). As expected, this signal is absent in the asialo-rhEPO fingerprint (Fig. 2, pink bars). The removal of sialic acid in the asialoEPO sample is further indicated by the increased strength of the terminal beta-galactose (Beta Gal) signals, particularly in the terminal beta-galactose lectin 2 (Beta Gal 2), which is absent in the intact protein.

Figure 2. “Glycan fingerprint” analysis of an intact rhEPO and n desialylated rhEPO (asialo-rhEPO). Average fluorescent signals from several replicate spots for each of the 24 lectins were normalized to background fluorescence.

However, the relative promiscuity (e.g., compared to antibody-antigen interactions) of lectins for different glycans and their isomers requires that the raw data be deconvoluted using a complex algorithm before concrete conclusions can be drawn about the abundance or presence of the eight glycan classes listed in the final result table (Table II).  This algorithm is based on deconvolution of signals from several lectins with overlapping and/or complementary specificities for each epitope, and requires that no contradicting signals are present.  In this case, the difference between intact rhEPO and asialoEPO is clearly demonstrated. Both samples contain high levels of complex tri- and tetra- antennary structures and low levels of bi-antennary structures. The native sample is highly sialylated, whereas the desialylated sample does not contain detectable levels of sialic acid (Table II).

Discussion

The different glycoforms of EPO have different properties and effects in vivo. The serum half-life of native EPO is greaterthan 200-fold higher than the desialylated variant. Intact EPO induces erythropoiesis and has a neuroprotective effect, whereas asialoEPO merely has a neuroprotective effect. Presumably, these differences are due to the difference in glycan groups on the proteins’ surfaces.

With the Qproteome GlycoArray Kit, analysis of the two rhEPO glycoforms clearly  indicates differences in protein glycan makeup. In addition, the Kit facilitates the investigation of relationships between protein glycosylation and function. The procedure provides semi-quantitative and qualitative analysis for the major classes of glycan moieties, and is therefore suitable for many applications in life science research.

The European Pharmacopeia requests isoelectric focusing (IEF) and SDS-PAGE analysis for quality assurance of rhEPO and other glycosylated protein therapeutics.16 Another commonly used method for glycoanalysis is sequential deglycosylation using specific enzymes followed by HPLC.17 In contrast to such methods, GlycoArray analysis provides a fast and convenient procedure.

We have demonstrated that glycoanalysis using Qproteome GlycoArray slides enables a detailed comparison of rhEPO and its desialylated variant and provides comparable information in a fraction of the time required by currently used methods. 

Figure 3. Basic structure of N-linked glycans. Asn; asparagine, Fuc; fucose, GlcNac; N-acetylglucosamine, Man; mannose, Gal; galactose, NeuNAc; N-acetylneuraminic acid.

References

1. Spiro, R.G. Protein glycosylation: nature, distribution, enzymatic formation, and disease implications of glycopeptide bonds. Glycobiology 12(4):43R-56R;2002.

2. Yamaguchi. Y. et al. Glycoform-dependent conformational alteration of the Fc region of human immunoglobulin G1 as revealed by NMR spectroscopy. Biochim. Biophys. Acta. 1760(4):693-700;2006.

3. van Rensburg, S.J. et al. 5- and 6-glycosylation of transferrin in patients with Alzheimer’s disease. Metab. Brain Dis. 19(1-2):89-96:2004.

4. Crothers Jr, J.M. et al.  Contribution of oligosaccharides to protection of the H,K-ATPase beta-subunit against trypsinolysis. Electrophoresis. 25(15):2586-2592;2004.

5.  Sinclair, A.M. and Elliott, S. Glycoengineering: the effect of glycosylation on the properties of therapeutic proteins. J. Pharm. Sci. 94(8):1626-1635;2005.

6. Muller, I. Et al. Glycosylation and lectins-examples of immunesurveillance and immune evasion. Histol. Histopathol. 19(2):527-533;2004.

7. Srivastav, A. et al. Partial characterization, sperm association and significance of N- and O-linked glycoproteins in epididymal fluid of rhesus monkeys (Macaca mulatta). Reproduction. 127(3):343-357;2004.

8. Chu, V.C. and Whittaker, G.R. Influenza virus entry and infection require host cell N-linked glycoprotein. Proc. Natl. Acad. Sci. USA. 101(52):18153-18158;2004.

9. McConville, M.J. et al. Secretory pathway of trypanosomatid parasites. Microbiol. Mol. Biol. Rev. 66(1):122-154;2002.

10. Chen, L. et al. Interference with O-glycosylation in RMA lymphoma cells leads to a reduced in vivo growth of the tumor. Int. J. Cancer Epub ahead of print. 2006.

11. Dube, D.H. and Bertozzi, C.R. Glycans in cancer and inflammation - potential for therapeutics and diagnostics. Nat. Rev. Drug Discov. 4(6):477-488;2005.

12.  Hu, P. et al. Stabilization of plakoglobin and enhanced keratinocyte cell-cell adhesion by intracellular O-glycosylation. J. Biol. Chem. 281(18):12786-12791;2006.

13. Santos-Silva, F. et al. Thomsen-Friedenreich antigen expression in gastric carcinomas is associated with MUC1 mucin VNTR polymorphism. Glycobiology.  15(5):511-517;2005.

14. Sharon, N. and Lis, H. How proteins bind carbohydrates: lessons from legume lectins. J. Agric. Food Chem.  50(22):6586-6591;2002.

15. Erbayraktar, S. et al. Asialoerythropoietin is a nonerythropoietic cytokine with broad neuroprotective activity in vivo. Proc. Natl. Acad. Sci. USA 100, 6741-6746;2003.

16. European Pharmacopoeia (2000) in 2001 Supplement (Council of Europe, Strasbourg, France) 277.

17. Skibeli, V., Nissen-Lie, G., and Torjesen, P.  Sugar profiling proves that human serum erythropoietin differs from recombinant human erythropoietin. Blood, 98, 3626-3634;2001.

 

Email this page to a friend